EigenObfu: A Novel Network Topology Obfuscation Defense Method

Ziliang Zhu, Guopu Zhu*, Yu Zhang, Jiantao Shi, Xiaoxia Huang, Yuguang Fang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

Link flooding attack is a kind of attack based on the topology information of a network. Sophisticated attackers tend to conduct network reconnaissance before they launch effective attacks to infer key information about the whole network. Existing active defense methods against link flooding attacks either focus on protecting the key links within the network or safeguarding the key nodes with the simple degree centrality. This paper proposes a novel network topology obfuscation method called EigenObfu to protect the key nodes. Instead of using the degree centrality in existing defense methods, our eigenvector centrality-based EigenObfu comprehensively utilizes network topology information and better measures the importance of nodes in a network. EigenObfu is designed to output a secure obfuscated topology suitable for networks, regardless of their sizes, by hiding important nodes while maintaining connectivity and ensuring the protection of key nodes. We evaluate EigenObfu through several comparison experiments on nine different topologies. The results confirm the effectiveness of our method.

© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Original languageEnglish
Pages (from-to)451-462
JournalIEEE Transactions on Network Science and Engineering
Volume12
Issue number1
Online published18 Nov 2024
DOIs
Publication statusPublished - Jan 2025

Research Keywords

  • Eigenvalue
  • Key nodes
  • Network topology
  • Topology defense
  • Topology obfuscation

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Zhu, Z., Zhu, G., Zhang, Y., Shi, J., Huang, X., & Fang, Y. (2024). EigenObfu: A Novel Network Topology Obfuscation Defense Method. IEEE Transactions on Network Science and Engineering, 12(1), 451-462. https://doi.org/10.1109/TNSE.2024.3501396

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